This session will focus on various ET estimation methods, including sap flow or soil heat pulse sensors, lysimeters, eddy covariance stations, scintillometers, and remote sensing. We will also explore new techniques like AI, data fusion, sharpening algorithms, machine learning, and cloud computing. Additionally, we will cover detailed evaluations of scale dependencies, strategies to handle uncertainties, systematic biases, and the representativity of estimates.
We welcome contributions that (1) assess and compare various in-situ and remote sensing methods, (2) analyse trends and spatio-temporal patterns in ET data, including error sources and uncertainty, (3) bridge scales between different in-situ measurements, modelled and remotely sensed ET, including validation and calibration challenges, (4) evaluate challenges and opportunities of applying AI methods, cloud computing and new technologies.
We plan to have a little networking meetup at the session posters in the lunch break, so please feel free to join, bring your lunch and have a chat. :)
Posters virtual: Thu, 1 May, 14:00–15:45 | vPoster spot A
EGU25-12878 | Posters virtual | VPS10
Remote-Sensing based Global Evapotranspiration estimates at high spatial resolution through Sentinel-2 satellite imagery and meteorological data. The CWRweb tool.Thu, 01 May, 14:00–15:45 (CEST) | vPA.17